I was trained as an experimental psychologist and artist at the University of Belgrade and the University of Novi Sad in Serbia. My doctoral (Ritsumeikan University, 2009-2013) and postdoctoral (Kyoto University, 2013-2015) work in Japan focused on incorporating these two disciplines through the psychophysics of illusions and neuroscience of aesthetics; sitting at the cross-section of vision research and studies of art reception.

My research in experimental aesthetics is focused on solving a centuries-old conundrum: what makes paintings aesthetically pleasing - their style or their semantic content? I use machine learning and eye-tracking techniques to explore individual preferences for visual art. The goal of my research is to offer automatic feedback about observers’ aesthetic preferences and predict their future choices. If successful our technology will enable museums, galleries, and immersive media to offer 1:1 curatorial service without increasing the cost of hosting art exhibitions.

In my current role as a knowledge transfer secondee for the EPSRC IAA project "Optimising high visibility patterns for bicycle apparel using deep learning", I work with the apparel team at Rapha Racing, Dr Laszlo Talas and Dr John Fennell from the University of Bristol to develop high visibility patterns for cyclists, leveraging what vision science knows about colour and visual illusions.